期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：1
页码：108
DOI：10.15680/IJIRSET.2017.0601014
出版社：S&S Publications
摘要：A noiseless ECG identification technology is an emerging new biometric modality. Differenttechniques for de-noising of ECG signal are prevalent in recent literatures such as Particle Filter (PF), wavelettransforms (WT), Empirical Mode Decomposition (EMD) & Ensemble-EMD Method. In view of the fact that Analysisof ECG signals becomes difficult to inspect the cardiac activity in the presence of Noise signals. So, de-noising of ECGsignal is extremely important to prevent misinterpretation of patient’s cardiac activity which can lead to wrongdiagnosis and further to death. This paper is surveying a comparison on the performance of the Particle Filter (PF),wavelet transforms (WT) and Empirical Mode Decomposition (EMD) & Ensemble EMD methods in context of denoisingof an electrocardiogram (ECG) signal. Analysis of the paper provides us the way of selecting best de-noisingtechnique of ECG signal based on the numerical value in terms of SNR and RMSE. The study is limited to signalscorrupted by additive white Gaussian random noise.
